使用“购物车数据”,对所购商品进行购物篮分析(关联规则挖掘),并提交实训任务。
+使用“购物车数据”,对所购商品进行购物篮分析(关联规则挖掘),其中min_support = 0.4,min_confidence = 0.5,最后将运行结果提交实训任务。
From 54655f95957725089b8dbe72cb1398029fc10d17 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=96=B9=E4=BD=B3=20=E5=8D=9A?= <12742597+fang-jiabo@user.noreply.gitee.com> Date: Mon, 26 Aug 2024 18:04:13 +0800 Subject: [PATCH] 'tj' --- .../components/associationRuleMining.vue | 2 +- .../components/clusterAnalysis.vue | 2 +- .../components/regressionAnalysis.vue | 8 ++++---- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue b/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue index 63a488f..14d44e8 100644 --- a/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue +++ b/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue @@ -2,7 +2,7 @@
使用“购物车数据”,对所购商品进行购物篮分析(关联规则挖掘),并提交实训任务。
+使用“购物车数据”,对所购商品进行购物篮分析(关联规则挖掘),其中min_support = 0.4,min_confidence = 0.5,最后将运行结果提交实训任务。